Literature DB >> 19572824

hERG-related drug toxicity and models for predicting hERG liability and QT prolongation.

Emanuel Raschi1, Luisa Ceccarini, Fabrizio De Ponti, Maurizio Recanatini.   

Abstract

BACKGROUND: hERG K(+) channels have been recognized as a primary antitarget in safety pharmacology. Their blockade, caused by several drugs with different therapeutic indications, may lead to QT prolongation and, eventually, to potentially fatal arrhythmia, namely torsade de pointes. Therefore, a number of preclinical models have been developed to predict hERG liability early in the drug development process.
OBJECTIVE: The aim of this review is to outline the present state of the art on drug-induced hERG blockade, providing insights on the predictive value of in vitro and in silico models for hERG liability.
METHODS: On the basis of latest reports, high-throughput preclinical models have been discussed outlining advantages and limitations.
CONCLUSION: Although no single model has an absolute value, an integrated risk assessment is recommended to predict the pro-arrhythmic risk of a given drug. This prediction requires expertise from different areas and should encompass emerging issues such as interference with hERG trafficking and QT shortening.

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Year:  2009        PMID: 19572824     DOI: 10.1517/17425250903055070

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  20 in total

1.  Antimicrobials and the risk of torsades de pointes: the contribution from data mining of the US FDA Adverse Event Reporting System.

Authors:  Elisabetta Poluzzi; Emanuel Raschi; Domenico Motola; Ugo Moretti; Fabrizio De Ponti
Journal:  Drug Saf       Date:  2010-04-01       Impact factor: 5.606

2.  Investigation of miscellaneous hERG inhibition in large diverse compound collection using automated patch-clamp assay.

Authors:  Hai-bo Yu; Bei-yan Zou; Xiao-liang Wang; Min Li
Journal:  Acta Pharmacol Sin       Date:  2016-01       Impact factor: 6.150

Review 3.  Bayesian quantitative electrophysiology and its multiple applications in bioengineering.

Authors:  Roger C Barr; Loren W Nolte; Andrew E Pollard
Journal:  IEEE Rev Biomed Eng       Date:  2010

Review 4.  Stem cells and stem cell-derived tissues and their use in safety assessment.

Authors:  Kyle Kolaja
Journal:  J Biol Chem       Date:  2013-12-20       Impact factor: 5.157

5.  Novel Bayesian classification models for predicting compounds blocking hERG potassium channels.

Authors:  Li-li Liu; Jing Lu; Yin Lu; Ming-yue Zheng; Xiao-min Luo; Wei-liang Zhu; Hua-liang Jiang; Kai-xian Chen
Journal:  Acta Pharmacol Sin       Date:  2014-06-30       Impact factor: 6.150

6.  Selective serotonin reuptake inhibitors and torsade de pointes: new concepts and new directions derived from a systematic review of case reports.

Authors:  Christopher Kogut; Ericka Breden Crouse; W Victor R Vieweg; Mehrul Hasnain; Adrian Baranchuk; Geneviève C Digby; Jayanthi N Koneru; Antony Fernandez; Anand Deshmukh; Jules C Hancox; Ananda K Pandurangi
Journal:  Ther Adv Drug Saf       Date:  2013-10

Review 7.  The significance of acid/base properties in drug discovery.

Authors:  David T Manallack; Richard J Prankerd; Elizabeth Yuriev; Tudor I Oprea; David K Chalmers
Journal:  Chem Soc Rev       Date:  2013-01-21       Impact factor: 54.564

8.  Methadone, QTc interval prolongation and torsade de pointes: Case reports offer the best understanding of this problem.

Authors:  W Victor R Vieweg; Mehrul Hasnain; Robert H Howland; Thomas Clausen; Jayanthi N Koneru; Christopher Kogut; Ericka L Breden Crouse; Jules C Hancox; Antony Fernandez; Ananda K Pandurangi
Journal:  Ther Adv Psychopharmacol       Date:  2013-08

Review 9.  microRNAs as pharmacogenomic biomarkers for drug efficacy and drug safety assessment.

Authors:  Igor Koturbash; William H Tolleson; Lei Guo; Dianke Yu; Si Chen; Huixiao Hong; William Mattes; Baitang Ning
Journal:  Biomark Med       Date:  2015-10-26       Impact factor: 2.851

10.  A chemogenomic analysis of ionization constants--implications for drug discovery.

Authors:  David T Manallack; Richard J Prankerd; Gemma C Nassta; Oleg Ursu; Tudor I Oprea; David K Chalmers
Journal:  ChemMedChem       Date:  2013-01-09       Impact factor: 3.466

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